Elisavet Bouloumpasi
Papers
1
Total Citations
34
H-Index
1
About
Elisavet Bouloumpasi is a leading researcher in precision viticulture and agricultural technology, with a focus on integrating artificial intelligence to revolutionize vineyard management. Her most-cited work, "A Deep Learning Approach for Precision Viticulture, Assessing Grape Maturity via YOLOv7" (2023, 34 citations), introduces a cutting-edge algorithm that leverages deep learning to automate grape maturity assessment—a critical task for optimizing harvest timing and wine quality. This contribution addresses labor shortages in viticulture by enhancing the accuracy and efficiency of robotic systems for vineyard mapping, pruning, and harvesting. Bouloumpasi’s research bridges the gap between computer vision and sustainable agriculture, offering practical solutions for real-world farming challenges. Her work has garnered attention for its potential to reduce waste and improve yield precision, marking her as a key innovator in the field. With a growing citation record and a focus on applied AI, Bouloumpasi continues to shape the future of smart farming, making her research essential for students and professionals exploring the intersection of technology and agriculture.
Research Focus
Key Achievements
Top Papers
- 1